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- Tasks: Develop and validate credit risk models while leading a team in a dynamic environment.
- Company: Join a well-known organisation experiencing exciting growth and expansion.
- Benefits: Competitive salary up to £55K with opportunities for professional development.
- Why this job: Make a real impact in financial risk management while working with cutting-edge data and technology.
- Qualifications: 4+ years in risk or analytics, with strong leadership and technical skills in financial regulations.
- Other info: Engage in business development activities and present findings to senior management.
The predicted salary is between 44000 - 66000 £ per year.
A great opportunity to join a well known organisation who are passionate about what they do and are at an exciting time of growth and expansion.
Key Responsibilities:
- Developing credit risk and pricing models, used for regulatory and business purposes.
- Validating and challenging these models on areas such as model design, model performance and model implementation.
- Stress testing exercises, ranging from operational execution to model development and validation.
- Processing large credit risk datasets and assessing or improving data quality.
- Integration of ESG across data, models (IRB, IFRS 9, stress testing) and risk processes.
- Interpretation and implementation of regulatory requirements and supervisory expectations.
- Remediation of supervisory findings (ECB/DNB).
- Ad-hoc assistance on business development activities, e.g. client events / roundtables, client meetings, workshops, pitching, drafting proposals and creating marketing material.
- Presenting and discussing results with senior management.
Key Requirements:
- You bring 4+ years' experience in risk, analytics or data science for banks, obtained by working for a bank, consulting firm or regulatory body.
- You bring significant experience leading a team and delivering projects while providing guidance and leadership to colleagues.
- You have deep technical experience on financial risk management and hands on experience in development, validation and implementation of IRB, IFRS 9 or Stress Testing models.
- You are experienced with data processing and analysing (large) datasets using Python, SAS, SQL or R.
- You have detailed knowledge of UK or European (prudential) regulation and supervision at banks.
- You are a strong communicator both verbally and written, with the ability to break down complex topics into simple solutions and ideas.
- You have a good command of the English language.
- You are passionate about the business impact of analysis, driven by continuous improvement and attention to detail.
Send your CV to nmohamed@merje.com
Senior Credit Risk Modelling Analyst employer: MERJE
Contact Detail:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Modelling Analyst
✨Tip Number 1
Network with professionals in the credit risk and financial services sectors. Attend industry events, webinars, or local meetups to connect with people who can provide insights into the role and potentially refer you.
✨Tip Number 2
Stay updated on the latest trends and regulations in credit risk management. Familiarise yourself with recent changes in UK and European regulations, as this knowledge will be crucial during interviews and discussions.
✨Tip Number 3
Prepare to discuss your experience with specific modelling techniques and tools like Python, SAS, SQL, or R. Be ready to share examples of how you've successfully developed or validated models in previous roles.
✨Tip Number 4
Practice your communication skills by explaining complex topics in simple terms. This will help you demonstrate your ability to present findings clearly, which is essential for the role and will impress potential employers.
We think you need these skills to ace Senior Credit Risk Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 4+ years of experience in risk, analytics, or data science. Emphasise your technical skills in financial risk management and your hands-on experience with IRB, IFRS 9, or Stress Testing models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership experience and ability to deliver projects. Discuss your passion for the business impact of analysis and how you can contribute to the company's growth and expansion.
Highlight Technical Skills: Clearly outline your proficiency in data processing and analysis using Python, SAS, SQL, or R. Mention any relevant experience with large datasets and your understanding of UK or European regulations.
Showcase Communication Skills: Demonstrate your strong verbal and written communication skills in your application. Provide examples of how you've simplified complex topics for senior management or clients, as this is crucial for the role.
How to prepare for a job interview at MERJE
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SAS, SQL, or R during the interview. Be prepared to discuss specific projects where you developed, validated, or implemented credit risk models, as this will demonstrate your hands-on expertise.
✨Understand Regulatory Requirements
Familiarise yourself with UK and European prudential regulations relevant to credit risk. Being able to discuss how these regulations impact model development and validation will show that you are well-versed in the compliance aspects of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially in stress testing and data quality improvement. Think of examples from your past experience where you successfully navigated challenges in these areas.
✨Communicate Clearly and Effectively
Since strong communication is key for this role, practice explaining complex topics in simple terms. You might be asked to present your findings or discuss results with senior management, so clarity and confidence are essential.
